Update README.md

README.md

@@ -20,12 +20,35 @@ Pythia-1.4b supervised finetuned with Anthropic-hh-rlhf dataset for 1 epoch (sft
 See [Pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b) for model details [(paper)](https://arxiv.org/abs/2101.00027). 
 
 
-# Benchmark results:
+# Benchmark raw results:
+
+Results for the base model are taken from the [Pythia paper](https://arxiv.org/abs/2101.00027).
 
 ## Zero shot
 
-Results for the base model are taken from the [Pythia paper](https://arxiv.org/abs/2101.00027).
+| Task             | 1.4B_base     | 1.4B_sft      | 1.4B_dpo       |
+|------------------|--------------:|--------------:|---------------:|
+| Lambada (OpenAI) | 0.616 ± 0.007 | 0.5977 ± 0.0068 | 0.5948 ± 0.0068 |
+| PIQA             | 0.711 ± 0.011 | 0.7133 ± 0.0106 | 0.7165 ± 0.0105 |
+| WinoGrande       | 0.573 ± 0.014 | 0.5793 ± 0.0139 | 0.5746 ± 0.0139 |
+| WSC              | 0.365 ± 0.047 | 0.3654 ± 0.0474 | 0.3654 ± 0.0474 |
+| ARC - Easy       | 0.606 ± 0.010 | 0.6098 ± 0.0100 | 0.6199 ± 0.0100 |
+| ARC - Challenge  | 0.260 ± 0.013 | 0.2696 ± 0.0130 | 0.2884 ± 0.0132 |
+| SciQ             | 0.865 ± 0.011 | 0.8540 ± 0.0112 | 0.8550 ± 0.0111 |
+| LogiQA           | 0.210 ± 0.016 | NA             | NA              |
 
 
 
 ## Five shot
+
+| Task             | 1.4B_base      | 1.4B_sft       | 1.4B_dpo       |
+|------------------|----------------|----------------|----------------|
+| Lambada (OpenAI) | 0.578 ± 0.007  | 0.5201 ± 0.007 | 0.5247 ± 0.007 |
+| PIQA             | 0.705 ± 0.011  | 0.7176 ± 0.0105| 0.7209 ± 0.0105|
+| WinoGrande       | 0.580 ± 0.014  | 0.5793 ± 0.0139| 0.5746 ± 0.0139|
+| WSC              | 0.365 ± 0.047  | 0.5288 ± 0.0492| 0.5769 ± 0.0487|
+| ARC - Easy       | 0.643 ± 0.010  | 0.6376 ± 0.0099| 0.6561 ± 0.0097|
+| ARC - Challenge  | 0.290 ± 0.013  | 0.2935 ± 0.0133| 0.3166 ± 0.0136|
+| SciQ             | 0.92 ± 0.009   | 0.9180 ± 0.0087| 0.9150 ± 0.0088|
+| LogiQA           | 0.240 ± 0.017  | N/A            | N/A            |
+